Measurement最新文献

{"title":"CrackVAN: A detection method of crack hazard images based on multi-scale feature refinement and large kernel attention","authors":"Mingchen Wei ,&nbsp;Gengkun Wu ,&nbsp;Letian Wang ,&nbsp;Mengqian Li","doi":"10.1016/j.measurement.2025.117766","DOIUrl":"10.1016/j.measurement.2025.117766","url":null,"abstract":"<div><div>Detection and segmentation of mine cracks are a crucial step in the process of eliminating the safety hazards of mine caused by large-scale mining on the floor of mines. However, the effectiveness of the current segmentation network still needs to be improved due to various reasons, especially the interference of shadows and the edge details of the cracks. In order to enhance the efficacy of crack detection, a multi-scale dilated larger kernel attention model has been developed. Furthermore, utilizing the visual attention network (VAN) architecture, we propose a multiscale dilated visual attention network (MD-VAN) for the early-stage screening of images containing cracks. In the crack detection stage, we propose a segmentation network, CrackVAN, which is based on multiscale feature refinement using MD-VAN as an encoder. In the feature processing part, we propose a multiscale feature refinement module (MSRF) for processing deep features, which enhances the information of cracks in the deep features by multiscale DWConv. Additionally, a convolutional pyramid compressed attention (CPSA) is proposed to further optimize the shallow features, enhancing the crack boundary information by increasing the attention at both the spatial and channel levels. Experimental results on the mine dataset show that MD-VAN achieves accuracy (94.12%) compared to other networks, while CrackVAN achieves mIoU (92.13%) and F1-score (95.76%). In addition, an evaluation of the efficacy of the proposed methodology was conducted on two publicly available datasets, namely CFD and DeepCrack, and our method gets better performance.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"253 ","pages":"Article 117766"},"PeriodicalIF":5.2,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143921687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advanced electricity theft detection in smart metering systems via Channel-Correlation enhanced hierarchical kernel networks and matrix completion","authors":"Tao Jin ,&nbsp;Wanhao Wang ,&nbsp;Yulong Liu ,&nbsp;Qinyu Huang ,&nbsp;Mohamed A. Mohamed","doi":"10.1016/j.measurement.2025.117768","DOIUrl":"10.1016/j.measurement.2025.117768","url":null,"abstract":"<div><div>Electricity theft can result in attacks and tampering with advanced metering infrastructure. Although electricity theft has decreased with the widespread adoption of smart meters, significantly increasing the amount of measured data, the issue persists. This paper presents a novel method termed channel-correlation exploited hierarchical kernel network to address the problem of electricity theft detection, integrating matrix completion and channel optimization techniques. Initially, the proposed method addresses the issue of missing or abnormal original data by employing the alternating direction method of multipliers, enhancing the quality of data samples for training purposes. Subsequently, the Hierarchical Kernel Network utilizes different kernel sizes to extract diverse feature sets, thereby capturing comprehensive information to improve recognition accuracy. Furthermore, leveraging the channel correlation exploitation module of the compression and excitation network, the network effectively analyzes and learns the unique features of each channel, significantly enhancing classification performance. Through ablation studies and experiments conducted with varying proportions of missing data and different fraud rates, the proposed model consistently demonstrates superior performance across all metrics compared to other models. The practicality and effectiveness of the model are further validated through implementation on hardware platforms. These findings provide robust evidence of the model’s efficacy and superiority in detecting electricity theft.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"253 ","pages":"Article 117768"},"PeriodicalIF":5.2,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143942289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The spectral parametrization of a SEM imaged nanoparticle monolayer","authors":"Paweł Weroński","doi":"10.1016/j.measurement.2025.117680","DOIUrl":"10.1016/j.measurement.2025.117680","url":null,"abstract":"<div><div>The analysis of computer-generated particle-monolayer images, presented in <span><span>Measurement 241 (2025) 115692</span><svg><path></path></svg></span>, shows that the novel method of monolayer parametrization described in that paper is insensitive to distortions in apparent particle size. In this short communication, we demonstrate on a SEM micrograph published in the literature that this feature is also preserved in the case of real, imperfect microscopic images of sputter-coated particle monolayers. For this purpose, we use the micrograph to make four images at different degrees of distortion in apparent particle size. Least-squares fitting performed for the four images reveals that the differences in the determined particle size and surface coverage are statistically insignificant. One-way ANOVA performed on the four data sets shows that their means are statistically equal. The Pearson correlation coefficients calculated for the six pairs of the four data sets indicate a strong linear relationship between the sets.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"253 ","pages":"Article 117680"},"PeriodicalIF":5.2,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of an optical fibre sensor system for ground displacement and pore water pressure monitoring","authors":"Kusumi Anjana ,&nbsp;Madhubhashitha Herath ,&nbsp;Jayantha Epaarachchi ,&nbsp;Nadeej H. Priyankara","doi":"10.1016/j.measurement.2025.117770","DOIUrl":"10.1016/j.measurement.2025.117770","url":null,"abstract":"<div><div>Monitoring ground displacements and pore water pressure is crucial for enhancing disaster resilience and ensuring a safe living environment. Optical fibre sensors are preferred over conventional ground failure monitoring methods, providing continuous and distributed measurements across large areas. In this study, a standard optical fibre was used as a distributed strain sensor to simultaneously monitor multiple subterranean parameters: pore water pressure and bi-directional ground displacements. Design, fabrication, laboratory calibration, field testing and data interpretation of the sensor system were carried out. The sensor system features three sensing units: a vertical outer tube and a horizontal flexible tape sensitive to ground displacements and a flexible diaphragm sensitive to pore water pressure. Each sensing unit was interconnected through a continuous optical fibre. A series of laboratory experiments was conducted to calibrate the horizontal ground displacement and pore water pressure sensor units. Relationships between the measured strain and the displacement and water pressure were developed. Field testing was conducted in a controlled sliding environment by inducing horizontal and vertical ground displacements and supplying pressurised water. Strain data was acquired by Optical Backscatter Reflectometry to identify the location and intensity of the resulting ground displacements and water pressure. A minimum detectable displacement up to 0.2 mm was achieved for horizontal ground displacement. Also, a minimum detectable change of 3.62 kPa was obtained for pore water pressure. This technology can be repetitively implemented in high-risk areas such as dams, roads, and runways for ground failure monitoring and early warning.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"253 ","pages":"Article 117770"},"PeriodicalIF":5.2,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143935448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of a modified-in vitro corrosion fatigue test rig for biodegradable load-bearing metallic implants","authors":"Morteza Daavari ,&nbsp;Mohammadreza Shooshtarian ,&nbsp;Mojtaba Esmailzadeh ,&nbsp;Masoud Atapour ,&nbsp;Samaneh Hajihoseini ,&nbsp;Carsten Blawert ,&nbsp;Marta Mohedano ,&nbsp;Endzhe Matykina ,&nbsp;Raul Arrabal","doi":"10.1016/j.measurement.2025.117765","DOIUrl":"10.1016/j.measurement.2025.117765","url":null,"abstract":"<div><div>Corrosion fatigue is a major factor leading to sudden failures in load-bearing orthopaedic implants, particularly in biodegradable ones that corrode more quickly than permanent implants.</div><div>In the current study, we developed a novel modified-<em>in vitro</em> corrosion fatigue (MICorF) rig that incorporates several key parameters—such as loading mode, blood buffering capacity, gradual bone healing processes, and the synchronization of corrosion and cyclic damage—aimed at closely mimicking in vivo conditions. The functionality of the MICorF was tested with an experimental extruded ZX00 (Mg-0.5Zn-0.5Ca) Mg alloy. The results showed that the ZX00 Mg alloy possesses a limited biomechanical performance. Based on the SEM micrographs, the presence of intermetallic particles in the alloy microstructure and the subsequent galvanic corrosion phenomena could be taken as the main cause of failure. According to the results yielded by the MICorF, the ZX00 alloy withstands at least 20 days under the studied physiological conditions and polarization corresponding to the pitting conditions.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"253 ","pages":"Article 117765"},"PeriodicalIF":5.2,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Internal short circuit fault diagnosis for automotive lithium-ion batteries using an adaptive parameter identification model","authors":"Qian Tao ,&nbsp;Yiming Wang ,&nbsp;Engang Tian ,&nbsp;Hongfeng Tao ,&nbsp;Hongtian Chen ,&nbsp;Yiyang Chen","doi":"10.1016/j.measurement.2025.117664","DOIUrl":"10.1016/j.measurement.2025.117664","url":null,"abstract":"<div><div>This paper develops a model-based diagnostic method for internal short circuit (ISC) faults in lithium-ion batteries. This method utilizes a second-order equivalent circuit model (ECM) combined with a recursive least squares method with an adaptive forgetting factor for online parameter identification, with initial parameters optimized by a particle swarm optimization (PSO) algorithm. An extended Kalman filter (EKF) is then employed for state estimation to generate residuals, which are analyzed using the refined cumulative sum (CUSUM) statistical method to detect and diagnose ISC faults. Experimental results show that this method effectively identifies ISC faults in automotive power batteries under various initial state of charge (SOC) levels and fault-free conditions. At 100% initial SOC, fault detection times are 104 seconds for a <span><math><mrow><mtext>15</mtext><mi>Ω</mi></mrow></math></span> fault, 77 seconds for a <span><math><mrow><mtext>10</mtext><mi>Ω</mi></mrow></math></span> fault, and 27 seconds for a <span><math><mrow><mtext>1</mtext><mi>Ω</mi></mrow></math></span> fault; at 90% initial SOC, detection for a <span><math><mrow><mtext>10</mtext><mi>Ω</mi></mrow></math></span> fault takes 97 seconds, demonstrating high accuracy and robustness.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"253 ","pages":"Article 117664"},"PeriodicalIF":5.2,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143921684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Photoacoustic fourier transform mid-infrared spectroscopy estimates plant-available phosphorus in bio-based fertilizers and amended soils","authors":"Khan Wali ,&nbsp;Muhammad Abdul Munnaf ,&nbsp;Pitero Sica ,&nbsp;Eldert J. van Henten ,&nbsp;Erik Meers","doi":"10.1016/j.measurement.2025.117651","DOIUrl":"10.1016/j.measurement.2025.117651","url":null,"abstract":"<div><div>Phosphorus (P) is a key nutrient for crop production, and there is growing interest in sourcing it from organic materials such as manure and digestate. Rapid estimation of phosphorus availability in organic amendments and their in-soil application is critical for supporting management decisions and maximizing phosphorus use efficiency. In this study, we investigated the use of photoacoustic Fourier transform mid-infrared spectroscopy (FTIR-PAS) to predict plant-available phosphorus (PAP) in bio-based fertilizers (BBF) and BBF-amended soils (Soil-A and Soil-B). Spectra were recorded using an FTIR-PAS instrument (Nicolet 6700, ThermoScientific, USA) for 60 BBF samples (e.g., cow, chicken, and pig manure, and substrate) and 60 samples of BBF mixed with two soil types: Soil-A (Luvisols with sandy-loam texture) and Soil-B (Humic-podzol with loamy-sand texture). Measurements were taken on the first and seventh days of incubation. Partial least squares regression (PLSR) models were developed using a training set of 48 samples and validated with a testing set of 12 samples for three cases: BBF, BBF-amended Soil-A, and BBF-amended Soil-B, at both incubation time points. FTIR-PAS demonstrated higher accuracy in predicting PAP for BBF (<span><math><mrow><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup><mo>=</mo><mn>0</mn><mo>.</mo><mn>84</mn></mrow></math></span>; RMSE = 1.51<!--> <!-->g<!--> <!-->kg⁻¹) compared to BBF-amended soils. Prediction accuracy was higher for Soil-A (<span><math><mrow><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup><mo>=</mo><mn>0</mn><mo>.</mo><mn>72</mn></mrow></math></span>–0.81; RMSE = 26.6–30.32<!--> <!-->mg<!--> <!-->kg⁻¹) than for Soil-B (<span><math><mrow><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup><mo>=</mo><mn>0</mn><mo>.</mo><mn>19</mn></mrow></math></span>–0.22; RMSE = 46.3–50.6<!--> <!-->mg<!--> <!-->kg⁻¹). The accuracy of FTIR-PAS decreased slightly (a 3% reduction in <span><math><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span>) with increasing incubation time up to seven days. In conclusion, FTIR-PAS shows promise for estimating PAP in BBF and BBF-amended soils, but soil texture and type require special consideration. Further research is needed to improve prediction accuracy for soils, as the current models exhibit limitations in this regard.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"253 ","pages":"Article 117651"},"PeriodicalIF":5.2,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143912638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multimodal interior comfort evaluation via odor and vision information","authors":"Yujiao Ji,&nbsp;Han Wang,&nbsp;Lei Jin,&nbsp;Zhixuan Liu,&nbsp;Guangcheng Wang","doi":"10.1016/j.measurement.2025.117773","DOIUrl":"10.1016/j.measurement.2025.117773","url":null,"abstract":"<div><div>This study addresses the limited monitoring perspectives and lack of comprehensive comfort evaluation models in ride-hailing services by introducing a genetic algorithm-optimized visual-odor multimodal in-car comfort assessment system. Specifically, the system leverages on-board cameras to capture images of passenger seating arrangements, upon which a VGG-19-based cleanliness evaluation subnetwork is constructed to effectively extract and identify cleanliness attributes within the vehicle cabin. Focusing on the common odors encountered in vehicles, an in-car odor detection apparatus is designed using MQ series odor sensors and an STM32 microcontroller. Furthermore, an odor pseudo-image encoder and an air quality evaluation subnetwork, grounded on odor concentration monitoring values, are proposed to enable the extraction and recognition of vehicle interior odor characteristics. Integrating the cleanliness and odor features, this work proposes a genetic algorithm-optimized visual-odor multimodal comfort evaluation network model, facilitating a quantitative assessment of multi-dimensional in-car comfort. Moreover, an intuitive mobile app interface is developed to display real-time data and evaluation results, thereby enhancing the ride-hailing experience. Experimental results obtained in a simulated in-car setting demonstrate that, in comparison to existing methodologies, the proposed visual-odor multimodal evaluation method for in-car comfort offers superior accuracy in assessing the in-car environment.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"253 ","pages":"Article 117773"},"PeriodicalIF":5.2,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143921961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accurate milling force estimation and surgical state recognition in robot-assisted laminectomy","authors":"Junfei Hu ,&nbsp;Ziqi Zhou ,&nbsp;Guangming Xia ,&nbsp;Yu Dai ,&nbsp;Jianxun Zhang ,&nbsp;Guihe Yang ,&nbsp;Xiaoguang Han ,&nbsp;Jile Jiang ,&nbsp;Yajun Liu","doi":"10.1016/j.measurement.2025.117673","DOIUrl":"10.1016/j.measurement.2025.117673","url":null,"abstract":"<div><div>In robot-assisted laminectomy, it is difficult for the robot to judge the bone milling status. During the bone milling process, once the milling cutter penetrates the inner cortical bone, it is easy to damage the spinal cord, increasing the risk of surgery. This paper proposed a method to identify the bone milling state using the relative amplitude of the milling force signal and the vibration signal. A six-axis force/torque sensor was employed to estimate the milling force between the surgical tool and the bone, while a laser displacement sensor measured the vibration signals on the bone surface. The amplitudes of both signals were calculated separately. Considering that the vibration signal is affected by both bone density and milling depth, this paper divided the milling force amplitude by the vibration signal amplitude to obtain the relative amplitude that was only related to bone density. The vibration signal amplitude and relative amplitude were subsequently used to construct feature vectors, trained and classified using neural networks for identification of bone milling status. The experimental results show that the recognition rate of milling state is higher when the feature vector containing relative amplitude. When only the amplitude of vibration signal was input, the recognition rate of bone milling state reached 86.1%. After the relative amplitude was added, the recognition rate was increased to 96.86%. The proposed method is conducive to improving the safety of robot-assisted surgery.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"253 ","pages":"Article 117673"},"PeriodicalIF":5.2,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143921732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Guided waves in plates with complex thickness variations: comparison of statistical modeling approaches","authors":"Beata Zima ,&nbsp;Jochen Moll","doi":"10.1016/j.measurement.2025.117762","DOIUrl":"10.1016/j.measurement.2025.117762","url":null,"abstract":"<div><div>Guided wave-based techniques are particularly effective for corrosion assessment due to their sensitivity to geometric variations and ability to propagate over long distances. However, most existing approaches rely on simplifying assumptions about thickness distribution, which can introduce inaccuracies in real-world applications, e.g., the thickness reduction due to the corrosion degradation. This study investigates the impact of thickness variability on guided wave propagation in plate-like structures with non-uniform geometry, specifically sinusoidal thickness variations. A combined experimental, numerical, and theoretical approach is employed to analyze wave velocity changes under different statistical assumptions about thickness distribution. The study compares constant-thickness approximations, normal distribution models, and a novel application of Chebyshev’s theorem, which provides a more generalized representation of thickness variability. Experimental validation is performed using CNC-fabricated plates with controlled thickness variations, and numerical simulations are conducted using finite element modeling. The results demonstrate that standard assumptions, particularly normal distribution approximations, can introduce significant errors in velocity estimation, whereas the Chebyshev-based approach offers a more accurate and flexible method for modeling non-uniform thickness distributions. These findings provide valuable insights into the development of improved guided wave-based methodologies for corrosion assessment and structural health monitoring.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"253 ","pages":"Article 117762"},"PeriodicalIF":5.2,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143906808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}